Productionkubernetes

Multi-Region Auto-Scaling EKS Cluster with GitOps

Production-grade multi-region Amazon EKS deployment using Terraform, ArgoCD, and Istio service mesh supporting 300+ microservices.

Architecture: AWS Route53 Latency Routing -> Dual-Region EKS (us-east-1 & eu-west-1) -> Istio Service Mesh -> ArgoCD GitOps Sync -> Aurora Global DB

Key Capabilities

  • Automated cross-region cluster failover under 60 seconds
  • KEDA event-driven auto-scaling based on SQS queue depth and Prometheus metrics
  • Zero-trust mTLS encryption between microservices via Istio
  • Automated cluster upgrades using Karpenter node auto-provisioning
AWS EKSTerraformArgoCDIstioKarpenterPrometheus
Cluster Uptime: 99.995%
Failover Time: < 45 sec
Productionmlops

High-Throughput Distributed LLM Inference Pipeline

Scalable GPU inference platform built with vLLM, NVIDIA Triton Inference Server, and KEDA on Kubernetes for low-latency LLM serving.

Architecture: API Gateway -> KEDA Autoscaler -> Ray/vLLM Cluster -> NVIDIA TensorRT-LLM -> Prometheus Latency Metrics

Key Capabilities

  • Continuous batching & PagedAttention for 3.5x higher token throughput
  • Dynamic GPU worker auto-scaling from 0 to 16 A10G instances based on queue depth
  • Model weights caching using S3 Mountpoint CSI driver to reduce cold starts by 80%
  • Unified Prometheus telemetry for GPU utilization, memory bandwidth, and TTFT
vLLMNVIDIA TritonKubernetesKEDARayAWS EKSPyTorch
Throughput: +350%
Cold Start: < 12s
Battle-Testedcicd

Zero-Downtime Multi-Cloud CI/CD & DevSecOps Suite

End-to-end continuous deployment pipeline with automated canary analysis, SAST/DAST security scanning, and Vault dynamic secrets.

Architecture: GitHub Push -> Security Scan (Trivy/Sonar) -> Docker Build -> Argo Rollouts Canary -> Prometheus Metric Check -> Production Promote

Key Capabilities

  • Canary deployments with automated rollback on error rate threshold breach (>0.5%)
  • Ephemeral feature environment creation on PR open & teardown on merge
  • HashiCorp Vault AppRole integration for zero hardcoded secrets
  • Reduced deployment pipeline build runtime by 85%
GitHub ActionsArgo RolloutsVaultTrivySonarQubeDocker
Build Runtime: 6 mins
Rollback Accuracy: 100%
Activeobservability

Enterprise Observability & SLO Management Platform

Unified observability architecture aggregating metrics, logs, and distributed traces across hybrid cloud environments using Thanos, Grafana & OpenTelemetry.

Architecture: Prometheus Agents -> Thanos Sidecar -> S3 Long-term Storage -> Grafana Dashboards -> PagerDuty Alertmanager

Key Capabilities

  • Long-term metrics retention with Thanos storing 2+ years of data on AWS S3
  • Automated SLO/SLA error budget tracking and burn-rate alert notifications
  • OpenTelemetry auto-instrumentation across microservice HTTP/gRPC boundaries
  • Centralized Log aggregation using Grafana Loki handling 50GB/day log volume
PrometheusThanosGrafanaLokiOpenTelemetryPagerDuty
Log Volume: 50GB / Day
Alert Precision: 98%
Productioniac

Automated Cloud FinOps & Cost Optimization Engine

Automated serverless solution to detect orphaned resources, right-size compute clusters, and enforce AWS/GCP cost budgets automatically.

Architecture: AWS EventBridge -> Lambda Python FinOps Worker -> Cost Explorer API -> Slack Alerts -> Karpenter Spot Optimizer

Key Capabilities

  • Automated shutdown of staging/dev clusters outside business hours
  • Orphaned EBS volume, unattached Elastic IPs, and idle NAT Gateway cleaner
  • Karpenter Spot Instance optimizer achieving 70% compute cost reduction
  • Real-time Slack notification alerts for budget anomaly detections
PythonAWS LambdaTerraformCost Explorer APIKarpenterSlack API
Annual Savings: $120,000+
Spot Usage: 75%